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| from crewai import Crew,Process | |
| from tasks import research_task,write_task | |
| from agents import researcher,news_writer | |
| import streamlit as st | |
| ## Forming the tech focused crew with some enhanced configuration | |
| crew=Crew( | |
| agents=[researcher,news_writer], | |
| tasks=[research_task,write_task], | |
| process=Process.sequential, | |
| ) | |
| ## starting the task execution process wiht enhanced feedback | |
| st.title('Your Research Assistant') | |
| with st.sidebar: | |
| st.header('Enter Research Details') | |
| topic = st.text_input("Main topic of your research:") | |
| #detailed_questions = st.text_area("Specific questions or subtopics you are interested in exploring:") | |
| if st.button('Run Research'): | |
| if not topic : | |
| st.error("Please fill all the fields.") | |
| else: | |
| #inputs = f"Research Topic: {topic}\nDetailed Questions: {detailed_questions}" | |
| result=crew.kickoff(inputs={'topic':topic}) | |
| # result=crew.kickoff(inputs=inputs) | |
| st.header("Results of your research project:") | |
| st.markdown(result) | |
| #F:/anaconda_installed/Scripts/activate | |
| #conda activate C:\Users\parth\OneDrive\Desktop\llmProjects\YT_Agents\agentenvconda | |